



'''simple docstring'''

SCREAMING_SNAKE_CASE__     :						Optional[int]	=  [
    [0, 1_6, 1_3, 0, 0, 0],
    [0, 0, 1_0, 1_2, 0, 0],
    [0, 4, 0, 0, 1_4, 0],
    [0, 0, 9, 0, 0, 2_0],
    [0, 0, 0, 7, 0, 4],
    [0, 0, 0, 0, 0, 0],
]






def 				a  (     UpperCamelCase_    :    Tuple      ,					UpperCamelCase_    :    Tuple      ,					UpperCamelCase_    :    Optional[Any]      ,					UpperCamelCase_    :    Optional[int]			)       ->	Tuple:
		# Return True if there is node that has not iterated.
		snake_case__	     =[False] * len(UpperCamelCase_			)
		snake_case__	     =[s]
		snake_case__	     =True

		while queue:
				snake_case__	     =queue.pop(0			)
				for ind in range(len(graph[u]			)			):
						if visited[ind] is False and graph[u][ind] > 0:
								queue.append(UpperCamelCase_			)
								snake_case__	     =True
								snake_case__	     =u

		return visited[t]






def 				a  (     UpperCamelCase_    :    List[str]      ,					UpperCamelCase_    :    List[str]      ,					UpperCamelCase_    :    List[Any]			)       ->	List[str]:
		snake_case__	     =[-1] * (len(UpperCamelCase_			))
		snake_case__	     =0
		snake_case__	     =[]
		snake_case__	     =[i[:] for i in graph]  # Record original cut, copy.
		while bfs(UpperCamelCase_      ,					UpperCamelCase_      ,					UpperCamelCase_      ,					UpperCamelCase_			):
				snake_case__	     =float('Inf'			)
				snake_case__	     =sink

				while s != source:
						# Find the minimum value in select path
						snake_case__	     =min(UpperCamelCase_      ,					graph[parent[s]][s]			)
						snake_case__	     =parent[s]

				max_flow += path_flow
				snake_case__	     =sink

				while v != source:
						snake_case__	     =parent[v]
						graph[u][v] -= path_flow
						graph[v][u] += path_flow
						snake_case__	     =parent[v]

		for i in range(len(UpperCamelCase_			)			):
				for j in range(len(graph[0]			)			):
						if graph[i][j] == 0 and temp[i][j] > 0:
								res.append((i, j)			)

		return res


if __name__ == "__main__":
			print(mincut(test_graph, source=0, sink=5))









'''simple docstring'''

from ...utils import (
    OptionalDependencyNotAvailable,
    is_torch_available,
    is_transformers_available,
    is_transformers_version,
)


try:
			if not (is_transformers_available() and is_torch_available() and is_transformers_version('''>=''', '''4.25.0''')):
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			from ...utils.dummy_torch_and_transformers_objects import UnCLIPImageVariationPipeline, UnCLIPPipeline
else:
			from .pipeline_unclip import UnCLIPPipeline
			from .pipeline_unclip_image_variation import UnCLIPImageVariationPipeline
			from .text_proj import UnCLIPTextProjModel




